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在使用Pytorch中，出现CUDA out of memory. Tried to allocate 392.00 MiB (GPU 0; 10.76 GiB total capacity; 652.77 MiB alread
这是内存不够用的结果，将num_workers和batch size设置小点
本文标签： MIBGPUCUDAMemoryallocate
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在报错的哪一行代码的上面，加上下面一行代码，不计算梯度 with torch.no_grad():
RuntimeError: CUDA out of memory. Tried to allocate 100.00 MiB (GPU 0; 5.78 GiB total capacity; 3.92 GiB already allocat
今天试了一下，缩小版的数据集，依旧无法运行。 报错为RuntimeError: CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0; 6
CUDA out of memory. Tried to allocate 16.00 MiB (GPU 0; 6.00 GiB total capacity; 4.54 GiB already allocated; 14.94 MiB f
错误原因： 使用了CUDA_VISIBLE_DEVICES指定了空闲的3090显卡，但仍报错，原因是batchsize设置得太高，设置了128. 解
问题描述：RuntimeError: CUDA out of memory. Tried to allocate 4.69 GiB (GPU 0; 8.00 GiB total capacity; 5.21 GiB a
跑yolov4测试demo报错 RuntimeError: CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0; 1.96 GiB total capacity; 1.40 GiB
RuntimeError: CUDA out of memory. Tried to allocate 600.00 MiB (GPU 0; 23.69 GiB total capacity; 21.82 GiB already alloc
RuntimeError: CUDA out of memory. Tried to allocate 96.00 MiB (GPU 0; 15.75 GiB total capacity; 14.39 GiB already alloca
CUDA out of memory. Tried to allocate 230.00 MiB (GPU 0; 2.00 GiB total capacity; 1.12 GiB already allocated; 218.58 MiB
1.美图 2.背景 一个使用kudu api写入程序的时候，报错 Kudu ：Service unavailable: Soft memory limit exceeded at xxx% of capacity3.原因 内存限制问题
RuntimeError: CUDA out of memory. Tried to allocate 192.00 MiB (GPU 0; 10.76 GiB total capacity; 9.36 GiB already alloca
问题现场 环境：pytorch1.，python3.6，1个GPU 当对预训练的bert模型进行fine-tuning，模型训练的batchsize
RuntimeError: CUDA out of memory. Tried to allocate 22.00 MiB (GPU 0; 10.76 GiB total capacity; 9.61 GiB already allocat
RuntimeError: CUDA out of memory. Tried to allocate 144.00 MiB (GPU 0; 2.00 GiB total capacity; 1.29 GiB already allocat
RuntimeError: CUDA out of memory. Tried to allocate 9.00 MiB (GPU 0; 11.17 GiB total capacity; 835.65 MiB already alloca
2019独角兽企业重金招聘Python工程师标准>>> ByteBuffer是个抽象类： 4个public abstract class Buffer {private int mark
RuntimeError: CUDA out of memory. Tried to allocate 320.00 MiB (GPU 0; 10.92 GiB total capacity; 9.95 GiB already alloca
RuntimeError: CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0; 3.94 GiB total capacity; 3.36 GiB already allocate
RuntimeError: CUDA out of memory. Tried to allocate 14763.13 GiB (GPU 3; 10.73 GiB total capacity; 165.28 MiB already al
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